| 书目名称 | Optimization, Learning, and Control for Interdependent Complex Networks | | 编辑 | M. Hadi Amini | | 视频video | | | 概述 | Speci?es the importance of e?cient theoretical methods in dealing with problems in the context of interdependent networks.Provides a comprehensive investigation of recently developed algorithms for la | | 丛书名称 | Advances in Intelligent Systems and Computing | | 图书封面 |  | | 描述 | .This book focuses on a wide range of optimization, learning, and control algorithms for interdependent complex networks and their role in smart cities operation, smart energy systems, and intelligent transportation networks. It paves the way for researchers working on optimization, learning, and control spread over the fields of computer science, operation research, electrical engineering, civil engineering, and system engineering. This book also covers optimization algorithms for large-scale problems from theoretical foundations to real-world applications, learning-based methods to enable intelligence in smart cities, and control techniques to deal with the optimal and robust operation of complex systems. It further introduces novel algorithms for data analytics in large-scale interdependent complex networks. . • Specifies the importance of efficient theoretical optimization and learning methods in dealing with emerging problems in the context of interdependent networks . • Provides a comprehensive investigation of advance data analytics and machine learning algorithms for large-scale complex networks . • Presents basics and mathematical foundations needed to enable efficient | | 出版日期 | Book 2020 | | 关键词 | interdependent infrastructure; large-scale complex networks; optimization theory; machine learning; smar | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-030-34094-0 | | isbn_softcover | 978-3-030-34096-4 | | isbn_ebook | 978-3-030-34094-0Series ISSN 2194-5357 Series E-ISSN 2194-5365 | | issn_series | 2194-5357 | | copyright | Springer Nature Switzerland AG 2020 |
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发表于 2025-3-21 19:54:13
